Configuration item repair-oriented Linux kernel boot test and configuration consistency intelligent repair method

By generating candidate configuration files, performing structured log parsing, and using Kconfig semantic modeling, combined with a criticality-based automated repair method, the complexity and stability issues in Linux kernel configuration item repair were resolved, achieving efficient and reliable configuration consistency repair and stability verification.

CN121935167AActive Publication Date: 2026-04-28NANJING UNIV OF INFORMATION SCI & TECH
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Patent Information

Application Number
CN202610407297.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-03-31
Publication Date
2026-04-28
Estimated Expiration
2046-03-31

AI Technical Summary

Technical Problem

Existing technologies for fixing Linux kernel configuration items suffer from problems such as complex configuration constraints, difficulty in error localization, reliance on manual experience for fixing, high iteration costs, insufficient stability assurance, and lack of engineering-based methods for locating cross-version regressions.

Method used

Candidate configuration files are generated using randomization or batching strategies. A closed-loop approach is adopted, combining reproducible startup testing, Kconfig semantic constraint modeling, automated repair decision-making, and stability verification. Through structured log parsing, configuration item metadata modeling, and key score-driven repair, automated repair and stability verification are achieved.

Benefits of technology

It significantly improves the efficiency and stability of configuration item repair, reduces reliance on manual experience, reduces redundant attempts, increases repair convergence speed, and reduces runtime instability risks through coverage-guided kernel fuzzing, while providing an engineering-based path for cross-version regression localization.

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Abstract

The invention discloses a configuration item repair-oriented Linux kernel boot test and configuration consistency intelligent repair method. The method comprises the following steps: collecting a compiling log, a boot log and a running state; performing segmentation, pattern matching and field extraction on the log, normalizing error information into structured error entries, and distinguishing a dependency missing class, a mutual exclusion conflict class and other compiling failure classes; performing preprocessing and grammar analysis on the Kconfig file, extracting configuration item attributes and constraint relationships, constructing a unified dependency graph and generating a configuration item metadata table; classifying and marking the configuration items based on the metadata, and calculating a key score; generating a repair action according to the structured error entry, the unified dependency graph and the key score, performing iteration execution, and performing recompilation and restart verification after each iteration until a reparated configuration file which can be compiled and started is obtained or a preset iteration upper limit is reached; according to the invention, the cross-version adaptation and problem closed-loop efficiency is improved.
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